Beginning to work on the analyses based on participants' answers to the religious affiliation questions, including cleaning of the data, removal of incomplete data sets (based on visual inspection), and creation of separate .csv files as I have done with previous analyses.
So far no significant differences between the answers to questions and formal religious affiliation of the school.
Created new .csv file for the analyses columns Qs [22, 23, 27] (in order to be less messy extracting columns). Separated out answers to Q20 in order to test whether there is a different in response.
Sorted out ANOVA and MANOVA analyses - preliminary results indicate no significant difference on Q22 or Q27 in regards to social issues of importance. Significant diff on Q23 with economy, health and environment - explore means to see where. Could be interesting
Figuring how to put frequencies of multiple response data into a clean format, then creating rough code for a simple pie chart (to be made pretty later).
Finished this for the 3 questions needing pie charts.
Cleaned datafile more for analysis and ease of viewing (changed text to numbers for Q25, Q26, Q3 in order to create frequency tables for pie charts and bar graphs).
Preliminary checking of pie chart and bar graph for frequencies
Notes on how to analyze responses in last section (ANOVA)
Created R Markdown with RH Tasks to begin to have consolidated file for graphs and plots code.
Duplicated .xlsx data file in order to clean and upload to R for analyses and graph creation - replaced Likert questions with numerical equivalents for later analysis (higher score indicates more agreement)
